Comparative Analysis of Pure Convolution Narrow U-Net for Colorectal Polyp Segmentation on GPU, CPU and FPGA-Reference-Cited by-同舟云学术

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Comparative Analysis of Pure Convolution Narrow U-Net for Colorectal Polyp Segmentation on GPU, CPU and FPGA

Published:2024-04-05 Issue: Volume:91 Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Rana Debaraj¹,Vennelakanti Bhargava Narendra¹,Balabantaray Bunil Kumar²,Peesapati Rangababu³

Affiliation:

1. National Institute of Technology Meghalaya,Department of ECE,Shillong,India

2. National Institute of Technology Meghalaya,Department of CSE,Shillong,India

3. Indian Institute of Information Technology, Design & Manufacturing,Department of ECE,Kurnool,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543500.pdf?arnumber=10543500

Reference22 articles.

1. Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement

2. Polyp detection with computer-aided diagnosis in white light colonoscopy: comparison of three different methods

3. Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method

4. A survey on cancer detection via convolutional neural networks: Current challenges and future directions

5. Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels

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